So i discovered the #zettelkasten #mcp by https://github.com/entanglr/zettelkasten-mcp - and it works quite well. A few more enhancements to the prompt, coupled with web search (#tavily) and it is really nice.
Visualized and consumed the Zettels in Obsidian.
Most annoying: the timestamps as file names.
🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B
🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability
📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP
手元のKiroを世界と繋げる Tavily Remote MCP Server設定
https://qiita.com/sh_fk2/items/cff66119c3f2145282c1?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
MastraからTavily MCP Serverを呼び出す
https://qiita.com/Syoitu/items/013b3aabda6204755a49?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
Last weekend I created a Typescript version of the #Ollama Deep Researcher using #langgraph #tavily #langsmith
Typescript SDK is still way behind Python but it evolving and progressing.
Link: https://buff.ly/3Cy0CJz
Fully local web research and report writing assistant. This repo is a Typescript edition of the Ollama Deep Researcher. - PacoVK/ollama-deep-researcher-ts
Daniel K
michabbb
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